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Journal articles on the topic 'Wolff algorithm'

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Published: 4 June 2021

Last updated: 1 February 2022

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1

LIMA, F. W. S. "MIXED ALGORITHMS IN THE ISING MODEL ON DIRECTED BARABÁSI–ALBERT NETWORKS." International Journal of Modern Physics C 17, no. 06 (2006): 785–93. http://dx.doi.org/10.1142/s0129183106008753.

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On directed Barabási–Albert networks with two and seven neighbours selected by each added site, the Ising model does not seem to show a spontaneous magnetisation. Instead, the decay time for flipping of the magnetisation follows an Arrhenius law for Metropolis and Glauber algorithms, but for Wolff cluster flipping the magnetisation decays exponentially with time. On these networks the magnetisation behaviour of the Ising model, with Glauber, HeatBath, Metropolis, Wolf or Swendsen–Wang algorithm competing against Kawasaki dynamics, is studied by Monte Carlo simulations. We show that the model e

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2

BAE, S., S. H. KO, and P. D. CODDINGTON. "PARALLEL WOLFF CLUSTER ALGORITHMS." International Journal of Modern Physics C 06, no. 02 (1995): 197–210. http://dx.doi.org/10.1142/s0129183195000150.

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The Wolff single-cluster algorithm is the most efficient method known for Monte Carlo simulation of many spin models. Due to the irregular size, shape and position of the Wolff clusters, this method does not easily lend itself to efficient parallel implementation, so that simulations using this method have thus far been confined to workstations and vector machines. Here we present two parallel implementations of this algorithm, and show that one gives fairly good performance on a MIMD parallel computer.

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Campos, P. R. A., and R. N. Onody. "Critical Dynamics Behavior of the Wolff Algorithm in the Site-Bond-Correlated Ising Model." International Journal of Modern Physics C 09, no. 06 (1998): 861–65. http://dx.doi.org/10.1142/s0129183198000807.

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Here we apply the Wolff single-cluster algorithm to the site-bond-correlated Ising model and study its critical dynamical behavior. We have verified that the autocorrelation time diminishes in the presence of dilution and correlation, showing that the Wolff algorithm performs even better in such situations. The critical dynamical exponents are also estimated.

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TALAPOV, A. L., V. B. ANDREICHENKO, VI S. DOTSENKO, and L. N. SHCHUR. "FIRST CLUSTER ALGORITHM SPECIAL PURPOSE PROCESSOR." International Journal of Modern Physics C 04, no. 04 (1993): 787–804. http://dx.doi.org/10.1142/s0129183193000653.

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We describe the architecture of the special purpose processor built to realize in hardware cluster Wolff algorithm, which is not hampered by a critical slowing down. The processor simulates two-dimensional Ising-like spin systems. With minor changes the same very effective architecture, which can be defined as a Memory Machine, can be used to study phase transitions in a wide range of models in two or three dimensions.

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TALAPOV, A. L., L. N. SHCHUR, V. B. ANDREICHENKO, and VL S. DOTSENKO. "CLUSTER ALGORITHM SPECIAL PURPOSE PROCESSOR." Modern Physics Letters B 06, no. 18 (1992): 1111–19. http://dx.doi.org/10.1142/s0217984992001976.

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We describe a Special Purpose Processor, realizing the Wolff algorithm in hardware, which is fast enough to study the critical behaviour of 2D Ising-like systems containing more than one million spins. The processor has been checked to produce correct results for a pure Ising model and for Ising model with random bonds. Its data also agree with the Nishimori exact results for spin glass. Only minor changes of the SPP design are necessary to increase the dimensionality and to take into account more complex systems such as Potts models.

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6

Marrakchi, S., I. Kammoun, and S. Kachboura. "Wolff-Parkinson-White Syndrome Mimics a Conduction Disease." Case Reports in Medicine 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/789537.

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Background. It is important to recognise Wolff-Parkinson-White (WPW) syndrome in electrocardiograms (ECG), as it may mimic ischaemic heart disease, ventricular hypertrophy, and bundle branch block. Recognising WPW syndrome allows for risk stratification, the identification of associated conditions, and the institution of appropriate management.Objective. The present case showed that electrophysiological study is indicated in patients with abnormal ECG and syncope.Case Report. A 40-year-old man with Wolff-Parkinson-White syndrome was presented to emergency with syncope. A baseline ECG was a com

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Oishi-Tomiyasu, Ryoko. "Mathematical Tools that Connect Different Indexing Analyses." Proceedings 62, no. 1 (2020): 8. http://dx.doi.org/10.3390/proceedings2020062008.

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As mathematical tools that can be commonly used for indexing analyses from different types of experimental patterns, we have recently developed (i) rules on forbidden hkl’s that can be used even when the space group and setting are unknown, (ii) an algorithm for error-stable Bravais lattice determination, (iii) generalization of the de Wolff figure of merit for powder diffraction (1D data) to data in higher-dimensions such as Kikuchi patterns (2D data) by electron backscatter diffraction (EBSD). In particular, (ii) could be used in a variety of situations, not just for indexing. It is explaine

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8

MITROVIĆ, BOŽIDAR, and MICHELLE A. PRZEDBORSKI. "MONTE CARLO STUDY OF THE XY-MODEL ON SIERPIŃSKI CARPET." International Journal of Modern Physics C 25, no. 02 (2014): 1350087. http://dx.doi.org/10.1142/s0129183113500873.

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We have performed a Monte Carlo (MC) study of the classical XY-model on a Sierpiński carpet, which is a planar fractal structure with infinite order of ramification and fractal dimension 1.8928. We employed the Wolff cluster algorithm in our simulations and our results, in particular those for the susceptibility and the helicity modulus, indicate the absence of finite-temperature Berezinskii–Kosterlitz–Thouless (BKT) transition in this system.

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9

Djeddaï, C., C. Karsenty, A. Maltret, et al. "Wolff Parkinson White syndrome: Validation of an algorithm for identifying accessory pathway in children." Archives of Cardiovascular Diseases Supplements 13, no. 4 (2021): 284. http://dx.doi.org/10.1016/j.acvdsp.2021.06.025.

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10

Murtazaev, A. K., A. B. Babaev, and G. Y. Ataeva. "Critical properties of 2d disordered 3-state antiferromagnetic potts model ON TRIANGULAR LATTICE." EPJ Web of Conferences 185 (2018): 11001. http://dx.doi.org/10.1051/epjconf/201818511001.

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By introducing a small amount of non-magnetic impurities into an antiferromagnetic (AF) two-dimensional (2D) Potts model on a triangular lattice it is that the impurities in spin systems described by this model result in the change of a first order to a second-order phase transition. The systems with linear sizes L × L = N, L = 9-144 are considered. Investigations are performed using the standard Metropolis algorithm along with Monte-Carlo single-cluster Wolff algorithm. On the basis of the theory of finite-size scaling, critical exponents (CE) are calculated: the heat capacity α, the suscepti

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11

Chu, Si Dung, Khanh Quoc Pham, and Dong Van Tran. "Development and evaluation of surface electrocardiogram in the septal accessory pathway localization in typical Wolff-Parkinson-White syndrome." Biomedical Research and Therapy 5, no. 9 (2018): 2680–87. http://dx.doi.org/10.15419/bmrat.v5i9.479.

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Objectives: This study was designed to characterize the surface electrocardiogram (ECG) of the typical Wolff-Parkinson-White (WPW) syndrome to develop a new algorithm ECG to localize the septal accessory pathways (APs) and to prospectively test the accuracy of the algorithm. Methods: We studied 106 patients, in which 65 patients with typical WPW syndrome who had a single antero-grade with the localization of APs identified by successful radiofrequency catheter ablation (RFCA) to develop a new ECG algorithm for the septal AP localization. Then, this algorithm was tested prospectively in 4

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Chu, Si Dung, Khanh Quoc Pham, and Dong Van Tran. "ID: 1081 Development and validation of surface electrocardiogram in the septal accessory pathway localization in typical Wolff-Parkinson-White syndrome." Biomedical Research and Therapy 4, S (2017): 167. http://dx.doi.org/10.15419/bmrat.v4is.355.

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Objectives: This study was designed characteristics of surface electrocardiogram (ECG) for the localization of septal accessory pathway (AP) in the typical Wolff-Parkinson-White (WPW) syndrome to develop a new algorithm ECG for the septal AP localization, and to test the accuracy of the algorithm prospectively. Subject and Methods: We studied 106 patients, in 65 patients with typical WPW syndrome have a single anterograde with the localization of Aps identified by successful radiofrequency catheter ablation (RCFA) to develop a new ECG algorithm for the septal AP localization. Then this a

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MILSTEIN, SIMON, ARJUN D. SHARMA, GERARD M. GUIRAUDON, and GEORGE J. KLEIN. "An Algorithm for the Electrocardiographic Localization of Accessory Pathways in the Wolff-Parkinson-White Syndrome." Pacing and Clinical Electrophysiology 10, no. 3 (1987): 555–63. http://dx.doi.org/10.1111/j.1540-8159.1987.tb04520.x.

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14

Taguchi, Noriko, Naoki Yoshida, Shinjiro Miyata, et al. "A Simple and Accurate Algorithm for Localizing Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome." Journal of Arrhythmia 27, Supplement (2011): PJ2_048. http://dx.doi.org/10.4020/jhrs.27.pj2_048.

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15

D’Onorio De Meo, Marco, and Suhk Kun Oh. "Wolff algorithm and anisotropic continuous-spin models: An application to the spin–van der Waals model." Physical Review B 46, no. 1 (1992): 257–60. http://dx.doi.org/10.1103/physrevb.46.257.

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16

Chu, Si Dung, Khanh Quoc Pham, and Dong Van Tran. "Development and evaluation of 12-lead electrocardiogram in the left free wall of accessory pathway localization in patients with typical Wolff-Parkinson-White syndrome." Biomedical Research and Therapy 5, no. 11 (2018): 2832–40. http://dx.doi.org/10.15419/bmrat.v5i11.502.

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Objectives: This study was designed to characterize 12-lead electrocardiogram (ECG) for localization of the left free wall lateral accessory pathway (AP) in patients with typical Wolff-Parkinson-White (WPW) syndrome, to develop a new algorithm ECG for localizing APs, and to test the accuracy of the algorithm prospectively. Method: We studied 129 patients; 84 patients had typical WPW syndrome with single anterograde AP identified by successful radiofrequency catheter ablation (RFCA), and were enrolled to build a new ECG algorithm for localizing left free wall APs. Then, the algorithm was

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17

Parovik, Roman. "Research dynamic modes of stick-slip effect with the account of hereditarity." E3S Web of Conferences 62 (2018): 02015. http://dx.doi.org/10.1051/e3sconf/20186202015.

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In study with the help of the spectrum of maximal Lyapunov exponents, dynamic regimes of the stick-slip effect were studied with allowance effect of hereditarity. Spectrum of the Lyapunov exponents were constructed using the Wolff algorithm with Gram-Schmidt orthogonalization depending on the values of the control parametersfriction and adhesion coefficients, as well as fractional index values, which determine the heredity of the dynamical system under consideration. The existence of an area of positive values of the maximum Lyapunov exponents is shown, which indicates the presence of chaotic

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18

AGISHTEIN, M. E., and C. F. BAILLIE. "ISING MODEL SIMULATIONS ON THE MANIFOLDS OF TWO-DIMENSIONAL QUANTUM GRAVITY." Modern Physics Letters A 06, no. 17 (1991): 1615–28. http://dx.doi.org/10.1142/s0217732391001755.

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The Ising model is stimulated on the manifolds of 2-dimensional quantum gravity, which are represented by fixed random triangulations (so-called quenched Ising model). Unlike the case of the Ising model on a dynamical random triangulation, there is no analytical prediction for the quenched case, since these manifolds do not have internal Hausdorff dimension and the problem cannot be formulated in matrix model language. The recursive sampling technique is used to generate the triangulations, lattice sizes being up to ten thousand triangles. The Metropolis algorithm was used for the spin update

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19

Senoner, Thomas, Bernhard Pfeifer, Fabian Barbieri, et al. "Identifying the Location of an Accessory Pathway in Pre-Excitation Syndromes Using an Artificial Intelligence-Based Algorithm." Journal of Clinical Medicine 10, no. 19 (2021): 4394. http://dx.doi.org/10.3390/jcm10194394.

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(1) Background: The exact anatomic localization of the accessory pathway (AP) in patients with Wolff–Parkinson–White (WPW) syndrome still relies on an invasive electrophysiologic study, which has its own inherent risks. Determining the AP localization using a 12-lead ECG circumvents this risk but is of limited diagnostic accuracy. We developed and validated an artificial intelligence-based algorithm (location of accessory pathway artificial intelligence (locAP AI)) using a neural network to identify the AP location in WPW syndrome patients based on the delta-wave polarity in the 12-lead ECG. (

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20

Si, Chu Dung, Pham Quoc Khanh, and Tran Van Dong. "ID: 1043 Study value of 12-lead ECG for the left free wall of accessory pathways diagnosing in patients with typical Wolff-Parkinson-White Syndrome." Biomedical Research and Therapy 4, S (2017): 122. http://dx.doi.org/10.15419/bmrat.v4is.319.

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Objectives: This study was designed characteristics of 12-lead Electrocardiogram (ECG) for the left free wall lateral of accessory pathway (AP) localization in the typical WPW syndrome to develop a new algorithm ECG for localizing APs, and to test the accuracy of the algorithm prospectively. Methods: We studied 129 patients, in 84 patients with typical WPW syndrome have a single anterograde with the localization of APs identified by successful radiofrequency catheter ablation (RCFA) to develop a new ECG algorithm for the left free wall of localizing APs. Then this algorithm was tested pr

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21

Murtazaev, Akai K., A. B. Babaev, and G. Ya Aznaurova. "Investigation of the Critical Properties in the 3D Site-Diluted Potts Model." Solid State Phenomena 152-153 (April 2009): 571–74. http://dx.doi.org/10.4028/www.scientific.net/ssp.152-153.571.

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The effect of quenched nonmagnetic impurities on phase transitions in the three-dimensional Potts model with the number of spin states q=3 is studied using the Wolff single-cluster algorithm of the Monte Carlo method. By the method of fourth-order Binder cumulants, it is demonstrated that the second-order phase transition occurs in the model under study at spin concentrations p=0.9, 0.8, 0.7, and 0.65, while the first-order phase transition is observed in the pure model (p=1.0). The static critical exponents (CEs) α (heat capacity), γ (susceptibility), β (magnetization), and ν (correlation len

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22

McGAVIGAN, ANDREW D., ELAINE CLARK, F. RUSSELL QUINN, ANDREW C. RANKIN, and PETER W. MACFARLANE. "Localization of Accessory Pathways in the Wolff-Parkinson-White Pattern?Physician Versus Computer Interpretation of the Same Algorithm." Pacing and Clinical Electrophysiology 30, no. 8 (2007): 998–1002. http://dx.doi.org/10.1111/j.1540-8159.2007.00798.x.

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23

ARRUDA, MAURICIO S., JAMES H. McCLELLAND, XANZHUNG WANG, et al. "Development and Validation of an ECG Algorithm for Identifying Accessory Pathway Ablation Site in Wolff-Parkinson-White Syndrome." Journal of Cardiovascular Electrophysiology 9, no. 1 (1998): 2–12. http://dx.doi.org/10.1111/j.1540-8167.1998.tb00861.x.

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24

Baek, Seung Min, Mi Kyoung Song, Jae-Sun Uhm, Gi Beom Kim, and Eun Jung Bae. "New algorithm for accessory pathway localization focused on screening septal pathways in pediatric patients with Wolff-Parkinson-White syndrome." Heart Rhythm 17, no. 12 (2020): 2172–79. http://dx.doi.org/10.1016/j.hrthm.2020.07.016.

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25

Reis, Artur Bernardo Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, and Marcelo Gattass. "Automatic Prostate Lesions Detection on MR Images Based on the Ising Model." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 341–50. http://dx.doi.org/10.1166/jctn.2019.8019.

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Prostate cancer is the second most prevalent type of cancer in the male population worldwide. Prostate imaging tests have adopted for the prevention, diagnosis, and treatment. It is known that early detection increases the chances of an effective treatment, improving the prognosis of the disease. This paper proposes an automatic methodology for prostate lesions detection. It consists of the following steps: Extracting candidates for lesions with Wolff algorithm; feature extraction using the Ising model measures and finally the uses support vector machine in the classification of a lesion or he

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26

BAILLIE, C. F., and D. A. JOHNSTON. "A NUMERICAL TEST OF KPZ SCALING: POTTS MODELS COUPLED TO TWO-DIMENSIONAL QUANTUM GRAVITY." Modern Physics Letters A 07, no. 17 (1992): 1519–33. http://dx.doi.org/10.1142/s0217732392001191.

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We perform Monte-Carlo simulations using the Wolff cluster algorithm of the q=2 (Ising), 3, 4 and q=10 Potts models on dynamical phi-cubed graphs of spherical topology with up to 5000 nodes. We find that the measured critical exponents are in reasonable agreement with those from the exact solution of the Ising model and with those calculated from KPZ scaling for q=3, 4 where no exact solution is available. Using Binder’s cumulant we find that the q=10 Potts model displays a first order phase transition on a dynamical graph, as it does on a fixed lattice. We also examine the internal geometry o

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27

Murtazaev, A. K., and A. B. Babaev. "Investigation of Phase Transitions in the Site-Diluted Three-Dimensional Potts Model." Solid State Phenomena 190 (June 2012): 687–90. http://dx.doi.org/10.4028/www.scientific.net/ssp.190.687.

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The phase transitions and critical phenomena in three-dimensional (3D) site-diluted 3-and 4-state Potts models is investigated by Monte-Carlo method based on the highly efficient Wolff algorithm. The systems with linear sizesL=20-44 at spin concentrationsp=1.00, 0.95, 0.90, 0.80, 0.70, 0.65 are explored. The second-order phase transition is shown to occur in the three-dimensional 3-state Potts model with nonmagnetic impurities. In the 4-state Potts model there are observed first-order phase transitions in weakly diluted state, when the model is strongly diluted the first-order phase transition

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28

Taguchi, Noriko, Naoki Yoshida, Yasuya Inden, et al. "A simple algorithm for localizing accessory pathways in patients with Wolff-Parkinson-White syndrome using only the R/S ratio." Journal of Arrhythmia 30, no. 6 (2014): 439–43. http://dx.doi.org/10.1016/j.joa.2013.10.006.

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29

Gündüç, Semra, Mehmet Dilaver, Meral Aydın, and Yiğit Gündüç. "A study of dynamic finite size scaling behavior of the scaling functions—calculation of dynamic critical index of Wolff algorithm." Computer Physics Communications 166, no. 1 (2005): 1–7. http://dx.doi.org/10.1016/j.cpc.2004.09.008.

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30

van Gelder, A. L., N. Hugo, R. Weller, et al. "Gated Blood Pool SPECT and Phase Analysis to Assess Simulated Wolff-Parkinson-White Syndrome in the Baboon." Nuklearmedizin 32, no. 05 (1993): 222–26. http://dx.doi.org/10.1055/s-0038-1632282.

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SummaryThis study assesses the diagnostic potential of a tomographic technique with phase analysis to detect premature electroventricular contraction patterns simulated by pacing in the baboon. The data of gated SPECT were analysed by backprojection of the Fourier coefficients, followed by angulation and integration to thick slices of the entire ventricular mass yielding separate ventricular contraction patterns in three perpendicular views. Electrodes were implanted in each baboon: at the sinu-atrial node; posterior, left ventricular; anterior left ventricular; on the left and the right later

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31

Cao, Yudong, and Sabre Kais. "UEfficient optimization of perturbative gadgets." Quantum Information and Computation 17, no. 9&10 (2017): 779–809. http://dx.doi.org/10.26421/qic17.9-10-3.

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Perturbative gadgets are general techniques for reducing many-body spin interactions to two-body ones using perturbation theory. This allows for potential realization of effective many-body interactions using more physically viable two-body ones. In parallel with prior work (arXiv:1311.2555 [quant-ph]), here we consider minimizing the physical resource required for implementing the gadgets initially proposed by Kempe, Kitaev and Regev (arXiv:quant-ph/0406180) and later generalized by Jordan and Farhi (arXiv:0802.1874v4). The main innovation of our result is a set of methods that efficiently co

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32

Dong, Yi, Jianmin Liu, Yanbin Liu, et al. "The Optimization Research of Diesel Cylinder Gasket Parameters Based on Hybrid Neutral Network and Improved Grey Wolf Algorithm." Mathematical Problems in Engineering 2020 (October 10, 2020): 1–16. http://dx.doi.org/10.1155/2020/3718174.

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In order to improve reliability and fatigue life of cylinder gaskets in heavy duty diesel engine, several methods and algorithms are applied to optimize operating factors of gaskets. Finite element method is utilized to figure out and analyze the temperature fields, thermal-mechanical coupling stress fields, and deformations of gasket. After determining the maximum values of three state parameters, the orthogonal experimental design method is adopted to analyze the influence rules of five operating factors on three state parameters of the gaskets and four factors which most significantly affec

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Kanagasabai, Lenin. "Two bio-inspired algorithms for solving optimal reactive power problem." International Journal of Advances in Applied Sciences 9, no. 3 (2020): 180. http://dx.doi.org/10.11591/ijaas.v9.i3.pp180-185.

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<span>In this work two ground-breaking algorithms called; Sperm Motility (SM) algorithm &amp; Wolf Optimization (WO) algorithm is used for solving reactive power problem. In sperm motility approach spontaneous movement of the sperm is imitated &amp; species chemo attractant, sperms are enthralled in the direction of the ovum. In wolf optimization algorithm the deeds of wolf is imitated in the formulation &amp; it has a flag vector also length is equivalent to the whole sum of numbers in the dataset the optimization. Both the projected algorithms have been tested in standard I

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DODDI, SRINIVAS R., MADHAV V. MARATHE, and BERNARD M. MORET. "POINT SET LABELING WITH SPECIFIED POSITIONS." International Journal of Computational Geometry & Applications 12, no. 01n02 (2002): 29–66. http://dx.doi.org/10.1142/s0218195902000736.

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Motivated by applications in cartography and computer graphics, we study a version of the map-labeling problem that we call the k-Position Map-Labeling Problem: given a set of points in the plane and, for each point, a set of up to k allowable positions, place uniform and non-intersecting labels of maximum size at each point in one of the allowable positions. This version combines an aesthetic criterion and a legibility criterion and comes close to actual practice while generalizing the fixed-point and slider models found in the literature. We present a general heuristic that given an ∊ > 0

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Kanagasabai, Lenin. "Power loss reduction by arctic wolf optimization algorithm." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 3 (2019): 111. http://dx.doi.org/10.11591/ijict.v8i3.pp111-116.

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This paper proposes Arctic Wolf optimization (AWO) algorithm to solve the optimal reactive power problem. Deeds of the Arctic wolf have been imitated to formulate the proposed algorithm. Arctic wolf also identified as the white wolf or polar wolf is a breed of gray wolf inhabitant from Melville Island to Ellesmere Island. It is average size, very smaller when compared to north western wolf, it possess whiter coloration, narrower braincase and big carnassials. Particle swarm optimization, Genetic algorithm has been used to improve the Exploration &amp; Exploitation ability of the algorithm

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Jeet, Kawal, and Renu Dhir. "A Bi-Criteria Hybrid Grey Wolf Approach for Parallel Machine Job Scheduling." International Journal of Applied Metaheuristic Computing 8, no. 2 (2017): 49–71. http://dx.doi.org/10.4018/ijamc.2017040104.

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Nature-inspired algorithms are becoming popular due to their ability to solve complex optimization and engineering problems. Grey Wolf algorithm is one of the recent nature-inspired algorithms that have obtained inspiration from leadership hierarchy and hunting mechanisms of grey wolves. In this paper, four formulations of multi-objective grey wolf algorithm have been developed by using combination of weighted objectives, use of secondary storage for managing possible solutions and use of Genetic Algorithm (GA). These formulations are applied for jobs scheduling on parallel machines while taki

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Li, Yan-Cang, and Pei-Dong Xu. "Improved Wolf Pack Algorithm for Optimum Design of Truss Structures." Civil Engineering Journal 6, no. 8 (2020): 1411–27. http://dx.doi.org/10.28991/cej-2020-03091557.

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In order to find a more effective method in structural optimization, an improved wolf pack optimization algorithm was proposed. In the traditional wolf pack algorithm, the problem of falling into local optimum and low precision often occurs. Therefore, the adaptive step size search and Levy's flight strategy theory were employed to overcome the premature flaw of the basic wolf pack algorithm. Firstly, the reasonable change of the adaptive step size improved the fineness of the search and effectively accelerated the convergence speed. Secondly, the search strategy of Levy's flight was adopted t

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38

Igiri, Chinwe P., Yudhveer Singh, and Ramesh C. Poonia. "A Review Study of Modified Swarm Intelligence: Particle Swarm Optimization, Firefly, Bat and Gray Wolf Optimizer Algorithms." Recent Advances in Computer Science and Communications 13, no. 1 (2020): 5–12. http://dx.doi.org/10.2174/2213275912666190101120202.

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Background: Limitations exist in traditional optimization algorithms. Studies show that bio-inspired alternatives have overcome these drawbacks. Bio-inspired algorithm mimics the characteristics of natural occurrences to solve complex problems. Particle swarm optimization, firefly algorithm, bat algorithms, gray wolf optimizer, among others are examples of bio-inspired algorithms. Researchers make certain assumptions while designing these models which limits their performance in some optimization domains. Efforts to find a solution to deal with these challenges leads to the multiplicity of var

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Yue, Zhihang, Sen Zhang, and Wendong Xiao. "A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm." Sensors 20, no. 7 (2020): 2147. http://dx.doi.org/10.3390/s20072147.

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Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems. Both of them have a strong optimal search capability. However, in some cases, GWO converges to the local optimum and FWA converges slowly. In this paper, a new hybrid algorithm (named as FWGWO) is proposed, which fuses the advantages of these two algorithms to achieve global optima effectively. The proposed algorithm combines the exploration abili

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Wu, Hu-Sheng, and Feng-Ming Zhang. "Wolf Pack Algorithm for Unconstrained Global Optimization." Mathematical Problems in Engineering 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/465082.

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The wolf pack unites and cooperates closely to hunt for the prey in the Tibetan Plateau, which shows wonderful skills and amazing strategies. Inspired by their prey hunting behaviors and distribution mode, we abstracted three intelligent behaviors, scouting, calling, and besieging, and two intelligent rules, winner-take-all generation rule of lead wolf and stronger-survive renewing rule of wolf pack. Then we proposed a new heuristic swarm intelligent method, named wolf pack algorithm (WPA). Experiments are conducted on a suit of benchmark functions with different characteristics, unimodal/mult

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Dadush, Dan, László A. Végh, and Giacomo Zambelli. "Geometric Rescaling Algorithms for Submodular Function Minimization." Mathematics of Operations Research 46, no. 3 (2021): 1081–108. http://dx.doi.org/10.1287/moor.2020.1064.

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We present a new class of polynomial-time algorithms for submodular function minimization (SFM) as well as a unified framework to obtain strongly polynomial SFM algorithms. Our algorithms are based on simple iterative methods for the minimum-norm problem, such as the conditional gradient and Fujishige–Wolfe algorithms. We exhibit two techniques to turn simple iterative methods into polynomial-time algorithms. First, we adapt the geometric rescaling technique, which has recently gained attention in linear programming, to SFM and obtain a weakly polynomial bound [Formula: see text]. Second, we e

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Darte, Alain, and Frédéric Vivien. "Parallelizing Nested Loops with Approximation of Distance Vectors: A Survey." Parallel Processing Letters 07, no. 02 (1997): 133–44. http://dx.doi.org/10.1142/s0129626497000152.

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In this paper, we compare three nested loops parallelization algorithms (Allen and Kennedy's algorithm, Wolf and Lam's algorithm and Darte and Vivien's algorithm) that use different representations of distance vectors as input. We study the optimality of each with respect to the dependence analysis it uses. We propose well-chosen examples that illustrate the power and limitations of the three algorithms. This study identifies which algorithm is the most suitable for a given representation of distance vectors.

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Mittal, Nitin, Urvinder Singh, and Balwinder Singh Sohi. "Modified Grey Wolf Optimizer for Global Engineering Optimization." Applied Computational Intelligence and Soft Computing 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/7950348.

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Nature-inspired algorithms are becoming popular among researchers due to their simplicity and flexibility. The nature-inspired metaheuristic algorithms are analysed in terms of their key features like their diversity and adaptation, exploration and exploitation, and attractions and diffusion mechanisms. The success and challenges concerning these algorithms are based on their parameter tuning and parameter control. A comparatively new algorithm motivated by the social hierarchy and hunting behavior of grey wolves is Grey Wolf Optimizer (GWO), which is a very successful algorithm for solving re

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Gündüç, Semra, Mehmet Dilaver, Meral Aydın, and Yiğit Gündüç. "Erratum to “A study of dynamic finite size scaling behavior of the scaling functions—calculation of dynamic critical index of Wolff algorithm” [Computer Physics Communications 166 (2005) 1–7]." Computer Physics Communications 172, no. 3 (2005): 214. http://dx.doi.org/10.1016/j.cpc.2005.08.001.

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Tomasevic, Miloje, Srdjan Aleksandric, Jelena Rakocevic, Vladimir Miloradovic, and Miodrag Sreckovic. "Approach to the wide QRS-complex tachycardia." Srpski arhiv za celokupno lekarstvo 146, no. 11-12 (2018): 663–67. http://dx.doi.org/10.2298/sarh180108025t.

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Introduction. Patients presenting with tachycardia most often complain of palpitation and dizziness, but can also report episodes of chest pain due to increased myocardial oxygen demand. The aim of this case article was to emphasize the importance of differential diagnosis between different types of supraventricular (SVT) or ventricular tachycardia (VT) according to ECG findings, and highlight the treatment algorithm for wide QRS-complex tachycardia. Case Outline. We present a 34-years old female patient which was admitted to our hospital due to palpitations and chest pain that occurred at res

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Asgher, Hafiz Maaz, Yana Mazwin Mohmad Hassim, Rozaida Ghazali, and Muhammad Aamir. "Improved grey wolf algorithm for optimization problems." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1573. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1573-1579.

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The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many optimization problems and give better solution as compare to other algorithms. However, due to its poor exploration capability, it has imbalance relation between exploration and exploitation. Therefore, in this research work, the poor exploration part of GWO was improved through hybrid with whale optimization algorithm (WOA) exploration. The proposed grey wolf whale optimization algorithm (GWWOA) was evaluated on five unimodal and five multimodal benchmark functions. The results

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Mustaffa, Zuriani, Mohd Herwan Sulaiman, and Yuhanis Yusof. "An Application of Grey Wolf Optimizer for Commodity Price Forecasting." Applied Mechanics and Materials 785 (August 2015): 473–78. http://dx.doi.org/10.4028/www.scientific.net/amm.785.473.

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Over the recent decades, there are many nature inspired optimization algorithms have been introduced. In this study, a newly algorithm namely Grey Wolf Optimizer (GWO) is employed for gasoline price forecasting. The performance of GWO is compared against the results produced by Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE) algorithm. Measured based on Mean Absolute Percentage Error (MAPE) and prediction accuracy, the GWO is proven to produce significantly better results as compared to the identified algorithms.

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Mohammed, Hardi M., Zrar Kh Abdul, Tarik A. Rashid, Abeer Alsadoon, and Nebojsa Bacanin. "A new K-means grey wolf algorithm for engineering problems." World Journal of Engineering 18, no. 4 (2021): 630–38. http://dx.doi.org/10.1108/wje-10-2020-0527.

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Purpose This paper aims at studying meta-heuristic algorithms. One of the common meta-heuristic optimization algorithms is called grey wolf optimization (GWO). The key aim is to enhance the limitations of the wolves’ searching process of attacking gray wolves. Design/methodology/approach The development of meta-heuristic algorithms has increased by researchers to use them extensively in the field of business, science and engineering. In this paper, the K-means clustering algorithm is used to enhance the performance of the original GWO; the new algorithm is called K-means clustering gray wolf o

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Thiel, Erik, Morteza Haghir Chehreghani, and Devdatt Dubhashi. "A Non–Convex Optimization Approach to Correlation Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5159–66. http://dx.doi.org/10.1609/aaai.v33i01.33015159.

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We develop a non-convex optimization approach to correlation clustering using the Frank-Wolfe (FW) framework. We show that the basic approach leads to a simple and natural local search algorithm with guaranteed convergence. This algorithm already beats alternative algorithms by substantial margins in both running time and quality of the clustering. Using ideas from FW algorithms, we develop subsampling and variance reduction paradigms for this approach. This yields both a practical improvement of the algorithm and some interesting further directions to investigate. We demonstrate the performan

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Li, Yu, Xiaoxiao Lin, and Jingsen Liu. "An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems." Sustainability 13, no. 6 (2021): 3208. http://dx.doi.org/10.3390/su13063208.

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With the rapid development of the economy, the disparity between supply and demand of resources is becoming increasingly prominent in engineering design. In this paper, an improved gray wolf optimization algorithm is proposed (IGWO) to optimize engineering design problems. First, a tent map is used to generate the initial location of the gray wolf population, which evenly distributes the gray wolf population and lays the foundation for a diversified global search process. Second, Gaussian mutation perturbation is used to perform various operations on the current optimal solution to avoid the a

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